ReSync: Correcting the trial-to-trial asynchrony of event-related brain potentials to improve neural response representation

Ouyang, Guang

doi:10.1016/j.jneumeth.2020.108722

Cited by 5 publications

(4 citation statements)

References 67 publications

(86 reference statements)

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“…We do not have a specific explanation of the differences between the studies finding no latency differences and those that do. Our method for computing ERP N170 latency are based on individual participant peak‐picking and the ReSync procedure (Guy, Conte, Bursalıoğlu, & Richards, 2021; Ouyang, 2020). This is the most accurate method for ERP component latency measurements, as it considers component latency on individual trial‐by‐trial basis to identify each participant's median component latency.…”

Section: Discussionmentioning

confidence: 99%

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Neural correlates of face processing among preschoolers with fragile X syndrome, autism spectrum disorder, autism siblings, and typical development

Richards,

Guy,

Hogan

et al. 2023

Autism Research

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The current study examined patterns of event‐related potential (ERP) responses during a face processing task in groups of preschoolers uniquely impacted by autism spectrum disorder (ASD), including (1) children with ASD; (2) children with fragile X syndrome (FXS); (3) children with familial risk for ASD, but without a diagnosis (i.e., ASIBs); and (4) a low‐risk control (LRC) group. Children with FXS have a high incidence of ASD diagnoses, but there have been no studies of the ERP response to faces in children with FXS and little work focused on children with ASD who have cognitive impairment. The current study examined children's ERP responses to faces and houses in four groups: LRC (N = 28, age = 5.2 years), ASIB (N = 23, age = 5.5 years), FXS (N = 19, age = 5.82 years), and ASD (N = 23, age = 5.5 years). The FXS and ASD groups were characterized by the presence of cognitive impairment. Pictures of upright and inverted faces and houses were presented while recording EEG with a 128‐channel system. The N170 occurred at about 200 ms post stimulus onset, was largest on the posterior‐lateral electrodes, and was larger for faces than houses. The P1 and N170 ERP components were larger for the FXS group than for the other three groups. The N170 ERP amplitude for the ASD and ASIB groups was smaller than both the LRC and FXS groups, and the LRC and FXS groups had the largest N170 responses on the right side. No difference was found in N170 latency between groups. The similarity of the ASD and ASIB responses suggest a common genetic or environmental origin of the reduced response. Although children with FXS have a high incidence of ASD outcomes, they differed from ASD and ASIB children in this study. Specifically, the children with FXS were hyperresponsive to all stimulus types while the ASD and ASIB groups showed attenuated responses for specific stimuli.

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Section: Discussionmentioning

confidence: 99%

“…The latency of the ERP components was computed with semi‐automated peak‐picking methods (Guy et al, 2021) and the ReSync procedure (Guy et al, 2021; Ouyang, 2020). The grand average ERP for each participant and trial type (upright faces, upright houses, inverted faces, inverted houses) was computed.…”

Section: Methodsmentioning

confidence: 99%

Neural correlates of face processing among preschoolers with fragile X syndrome, autism spectrum disorder, autism siblings, and typical development

Richards,

Guy,

Hogan

et al. 2023

Autism Research

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“…Therefore, we take the start time point of the window that minimizes the GMD values as the latency. To enhance the ERP feature, a single-trial EEG model is constructed by a linear decomposition of several ERP components with latency-variable [25,30], which can be expressed as:…”

Section: Similarity Measurementmentioning

confidence: 99%

“…Woody et al proposed an adaptive filter system to analyze the variable latencies of ERP components. To improve the performance of ERP components detection, the latencies of ERP were estimated by the cross-correlation method, and the EEG signal was aligned by latencies [24,25]. Song et al proposed an iterative minimum distance square error for ERP feature alignment, which constructs an ERP template to compensate for possible time jitter [26].…”

Section: Introductionmentioning

confidence: 99%

LDER: a classification framework based on ERP enhancement in RSVP task

Cui

Xie

et al. 2023

J. Neural Eng.

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Objective: Rapid serial visual presentation (RSVP) based on electroencephalography (EEG) has been widely used in the target detection field, which distinguishes target and non-target by detecting event-related potential (ERP) components. However, the classification performance of the RSVP task is limited by the variability of ERP components, which is a great challenge in developing RSVP for real-life applications.Approach: To tackle this issue, a classification framework based on the ERP feature enhancement to offset the negative impact of the variability of ERP components for RSVP task classification named latency detection and EEG reconstruction (LDER) was proposed in this paper. First, a spatial-temporal similarity measurement approach was proposed for latency detection. Subsequently, we constructed a single-trial EEG signal model containing ERP latency information. Then, according to the latency information detected in the first step, the model can be solved to obtain the corrected ERP signal and realize the enhancement of ERP features. Finally, the EEG signal after ERP enhancement can be processed by most of the existing feature extraction and classification methods of the RSVP task in this framework. Main results: Nine subjects were recruited to participate in the RSVP experiment on vehicle detection. Four popular algorithms (SWFP, HDPCA, HDCA, and STHCP) in RSVP-BCI for feature extraction were selected to verify the performance of our proposed framework. Experimental results showed that our proposed framework significantly outperforms the conventional classification framework in terms of AUC, balanced accuracy (BA), TPR, and FPR in four feature extraction methods. Additionally, statistical results showed that our proposed framework enables better performance with fewer training samples, channel numbers, and shorter temporal window sizes. Significance: As a result, the classification performance of the RSVP task was significantly improved by using our proposed framework. Our proposed classification framework will significantly promote the practical application of the RSVP task. 

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Peak selection and latency jitter correction in developmental event‐related potentials

Guy

Conte

Bursalıoğlu

et al. 2021

Developmental Psychobiology

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Event-related potentials (ERPs) provide great insight into neural responses, yet developmental ERP work is plagued with inconsistent approaches to identifying and quantifying component latency. In this analytical review, we describe popular conventions for the selection of time windows for ERP analysis and assert that a data-driven strategy should be applied to the identification of component latency within individual participants' data. This may overcome weaknesses of more general approaches to peak selection; however, it does not account for trial-by-trial variability within a participant. This issue, known as ERP latency jitter, may blur the average ERP, misleading the interpretation of neural mechanisms. Recently, the ReSync MATLAB toolbox has been made available for correction of latency jitter. Although not created specifically for pediatric ERP data, this approach can be adapted for developmental researchers. We have demonstrated the use of the ReSync toolbox with individual infant and child datasets to illustrate its utility. Details about our peak detection script and the ReSync toolbox are provided. The adoption of data processing procedures that allow for accurate, studyspecific component selection and reduce trial-by-trial asynchrony strengthens developmental ERP research by decreasing noise included in ERP analyses and improving the representation of the neural response.

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ReSync: Correcting the trial-to-trial asynchrony of event-related brain potentials to improve neural response representation

Cited by 5 publications

References 67 publications

Neural correlates of face processing among preschoolers with fragile X syndrome, autism spectrum disorder, autism siblings, and typical development

Neural correlates of face processing among preschoolers with fragile X syndrome, autism spectrum disorder, autism siblings, and typical development

LDER: a classification framework based on ERP enhancement in RSVP task

Peak selection and latency jitter correction in developmental event‐related potentials

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